Conversational search
Searching in natural, back-and-forth language, often as follow-up questions, the way you'd talk to an assistant.
In depth
What it really means
Conversational search is querying in full, natural sentences and follow-ups, rather than short keyword strings. Assistants keep context between turns, so a user can refine and dig deeper in a dialogue.
It rewards content that answers real questions the way people actually ask them, including the follow-ups, rather than content stuffed with terse keywords.
Best practices
- Write for natural questions, not just short keywords.
- Anticipate follow-up questions and answer them too.
- Use a clear question-and-answer structure.
- Cover a topic in enough depth to satisfy a dialogue.
- Keep language plain and direct.
FAQs
What is conversational search?
Searching in natural, back-and-forth language, often with follow-up questions, the way you would talk to an assistant.
How does it change SEO?
It rewards content that answers real questions naturally, including follow-ups, over pages optimized for terse keyword strings.
What content works for conversational search?
Clear question-and-answer content that anticipates follow-ups and covers the topic in enough depth to satisfy a dialogue.
Do keywords still matter?
Yes, but as part of natural language. Match the way people actually phrase questions rather than stuffing exact terms.
Where does conversational search happen?
In AI assistants and chat-based search, and increasingly in voice queries.
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